TWO-TEST ALGORITHMS FOR INFECTIOUS DISEASE DIAGNOSIS: IMPLICATIONS FOR COVID-19




Hologram Noise Model for Data Augmentation and Deep Learning

This paper introduces a noise augmentation technique emtek 2113 designed to enhance the robustness of state-of-the-art (SOTA) deep learning models against degraded image quality, a common challenge in long-term recording systems.Our method, demonstrated through the classification of digital holographic images, utilizes a novel approach to synthesiz

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